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高斯随机域最大值的几乎处处中心极限定理

Almost Sure Limit Theorem for Maximum Gaussian Random Fields
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摘要 利用高斯随机域加权和的中心极限定理和矩不等式,得到权重为λdk=∏ i=1ddki,dki=ki-1exp{lnβki},0≤β<1/2时高斯随机域最大值的几乎处处中心极限定理. With the aid of Gaussian fields central limit theorem of weighted sums and the moment inequality,an almost sure limit theorem with weight λdk=∏ i=1ddki,dki=ki-1exp{lnβki},0≤β1/2 was obtained for the maximum of stationary Gaussian fields.
出处 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2015年第6期1145-1150,共6页 Journal of Jilin University:Science Edition
基金 国家自然科学基金(批准号:11361019) 广西自然科学基金重点项目(批准号:2013GXNSFDA019001)
关键词 几乎处处中心极限定理 平稳高斯随机域 权重 almost sure central limit theorem stationary Gaussian random field weight
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参考文献10

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